Intelligent Open Data Exploration
A classic unified, comprehensive platform that provides extensive access to open datasets through natural language queries in the fields of Cancer Biomarker Research, Research and Innovation Policy Making and Astrophysics; for a wide range of users from larger scientific communities to public.
Data growth and availability as well as data democratisation have radically changed data exploration in the last 10 years. INODE aims at simplifying access to data, by allowing a more dialectic and intuitive interaction with data using Natural Language Processing (NLP). The goal of INODE is to offer a suite of agile, fit-for-purpose and sustainable services for exploration of multiple open data sets; guidance for the users in understanding the data by providing insights into the data modal using visualisation techniques and offer suggestions of prospective datasets using recommender systems that can drive the user in formulating right NLP queries to find the right dataset efficiently; let user to explore the data extensively through in-built data analytic packages and to discover new insights/science through data visualisation.
Latest News !
Authors: Behrooz Omidvar-Tehrani, Sihem Amer-Yahia Published in: IEEE Trans. Knowl. Data Eng. 2020 Abstract: User data can be acquired from various domains and is characterized by a combination of demographics such as age and occupation, and user actions such...
Authors: Ding, L., Xiao, G., Calvanese, D., and Meng, L. Published in: ISPRS International Journal of Geo-Information, 2020 Abstract: In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for...
Author: Aurélien Personnaz
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 863410